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Thomas L, Raju AP, Chaithra S, Kulavalli S, Varma M, Sv CS, Baneerjee M, Saravu K, Mallayasamy S, Rao M. Influence of N-acetyltransferase 2 polymorphisms and clinical variables on liver function profile of tuberculosis patients. Expert Rev Clin Pharmacol 2024; 17:263-274. [PMID: 38287694 DOI: 10.1080/17512433.2024.2311314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 01/24/2024] [Indexed: 01/31/2024]
Abstract
BACKGROUND Single nucleotide polymorphisms (SNPs) in the N-acetyltransferase 2 (NAT2) gene as well as several other clinical factors can contribute to the elevation of liver function test values in tuberculosis (TB) patients receiving antitubercular therapy (ATT). RESEARCH DESIGN AND METHODS A prospective study involving dynamic monitoring of the liver function tests among 130 TB patients from baseline to 98 days post ATT initiation was undertaken to assess the influence of pharmacogenomic and clinical variables on the elevation of liver function test values. Genomic DNA was extracted from serum samples for the assessment of NAT2 SNPs. Further, within this study population, we conducted a case control study to identify the odds of developing ATT-induced drug-induced liver injury (DILI) based on NAT2 SNPs, genotype and phenotype, and clinical variables. RESULTS NAT2 slow acetylators had higher mean [90%CI] liver function test values for 8-28 days post ATT and higher odds of developing DILI (OR: 2.73, 90%CI: 1.05-7.09) than intermediate acetylators/rapid acetylators. CONCLUSION The current study findings provide evidence for closer monitoring among TB patients with specific NAT2 SNPs, genotype and phenotype, and clinical variables, particularly between the period of more than a week to one-month post ATT initiation for better treatment outcomes.
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Affiliation(s)
- Levin Thomas
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Arun Prasath Raju
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - S Chaithra
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Shrivathsa Kulavalli
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Muralidhar Varma
- Department of Infectious Diseases, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | | | - Mithu Baneerjee
- Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | - Kavitha Saravu
- Department of Infectious Diseases, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Surulivelrajan Mallayasamy
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Mahadev Rao
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
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de Vries JH, Kling D, Vidaki A, Arp P, Kalamara V, Verbiest MMPJ, Piniewska-Róg D, Parsons TJ, Uitterlinden AG, Kayser M. Impact of SNP microarray analysis of compromised DNA on kinship classification success in the context of investigative genetic genealogy. Forensic Sci Int Genet 2021; 56:102625. [PMID: 34753062 DOI: 10.1016/j.fsigen.2021.102625] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 10/25/2021] [Accepted: 10/27/2021] [Indexed: 11/04/2022]
Abstract
Single nucleotide polymorphism (SNP) data generated with microarray technologies have been used to solve murder cases via investigative leads obtained from identifying relatives of the unknown perpetrator included in accessible genomic databases, an approach referred to as investigative genetic genealogy (IGG). However, SNP microarrays were developed for relatively high input DNA quantity and quality, while DNA typically obtainable from crime scene stains is of low DNA quantity and quality, and SNP microarray data obtained from compromised DNA are largely missing. By applying the Illumina Global Screening Array (GSA) to 264 DNA samples with systematically altered quantity and quality, we empirically tested the impact of SNP microarray analysis of compromised DNA on kinship classification success, as relevant in IGG. Reference data from manufacturer-recommended input DNA quality and quantity were used to estimate genotype accuracy in the compromised DNA samples and for simulating data of different degree relatives. Although stepwise decrease of input DNA amount from 200 ng to 6.25 pg led to decreased SNP call rates and increased genotyping errors, kinship classification success did not decrease down to 250 pg for siblings and 1st cousins, 1 ng for 2nd cousins, while at 25 pg and below kinship classification success was zero. Stepwise decrease of input DNA quality via increased DNA fragmentation resulted in the decrease of genotyping accuracy as well as kinship classification success, which went down to zero at the average DNA fragment size of 150 base pairs. Combining decreased DNA quantity and quality in mock casework and skeletal samples further highlighted possibilities and limitations. Overall, GSA analysis achieved maximal kinship classification success from 800 to 200 times lower input DNA quantities than manufacturer-recommended, although DNA quality plays a key role too, while compromised DNA produced false negative kinship classifications rather than false positive ones.
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Affiliation(s)
- Jard H de Vries
- Erasmus MC, University Medical Center Rotterdam, Department of Internal Medicine, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
| | - Daniel Kling
- Department of Forensic Genetics and Toxicology, National Board of Forensic Medicine, Artillerigatan 12, 587 58 Linköping, Sweden
| | - Athina Vidaki
- Erasmus MC, University Medical Center Rotterdam, Department of Genetic Identification, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
| | - Pascal Arp
- Erasmus MC, University Medical Center Rotterdam, Department of Internal Medicine, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
| | - Vivian Kalamara
- Erasmus MC, University Medical Center Rotterdam, Department of Genetic Identification, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
| | - Michael M P J Verbiest
- Erasmus MC, University Medical Center Rotterdam, Department of Internal Medicine, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
| | - Danuta Piniewska-Róg
- Malopolska Centre of Biotechnology, Jagiellonian University, 30-387 Krakow, Poland; Department of Forensic Medicine, Jagiellonian University Medical College, 31-531 Krakow, Poland
| | - Thomas J Parsons
- International Commission on Missing Persons, Koninginnegracht 12a, 2514 AA Den Haag, the Netherlands
| | - André G Uitterlinden
- Erasmus MC, University Medical Center Rotterdam, Department of Internal Medicine, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands; Erasmus MC, University Medical Center Rotterdam, Department of Epidemiology, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
| | - Manfred Kayser
- Erasmus MC, University Medical Center Rotterdam, Department of Genetic Identification, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands.
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Wojewodzic MW, Leithaug M, Lauritzen M, Lyle R, Haglund S, Rubin CJ, Ewels PA, Grotmol T, Rounge TB. Ultralow amounts of DNA from long-term archived serum samples produce high-quality methylomes. Clin Epigenetics 2021; 13:107. [PMID: 33980276 PMCID: PMC8114536 DOI: 10.1186/s13148-021-01097-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 05/02/2021] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Long-term stored serum is considered challenging for epigenomic analyses: as there are no cells, circulating DNA is scarce, and amplification removes epigenetic signals. Additionally, pre-analytical treatments and storage might introduce biases and fragmentation to the DNA. In particular, starting with low-input DNA can result in low-diversity libraries. However, successful whole-genome bisulphite sequencing (WGBS) of such serum samples has the potential to open biobanks for epigenetic analyses and deliver novel prediagnostic biomarkers. Here, we perform WGBS using the Accel-NGS library preparation kit on ultralow amounts of DNA from long-term archived samples with diverse pretreatments from the Janus Serum Bank. RESULTS Ninety-four of the 96 samples produced satisfactory methylation calls; an average of 578 M reads per sample generated a mean coverage of 17× and mean duplication level of 35%. Failed samples were related to poor bisulphite conversion rather than to sequencing or library preparation. We demonstrate the feasibility of WGBS on ultralow DNA yields from serum samples stored up to 48 years. CONCLUSIONS Our results show the potential of large serum biobank collections for future epigenomic studies and biomarker discovery.
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Affiliation(s)
| | - Magnus Leithaug
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | | | - Robert Lyle
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Sofia Haglund
- Science for Life Laboratory (SciLifeLab), Department of Biosciences and Nutrition, Karolinska Institute, Huddinge, Sweden
| | - Carl-Johan Rubin
- Department of Medical Biochemistry and Microbiology, Uppsala University, 75123, Uppsala, Sweden
| | - Philip A Ewels
- Science for Life Laboratory (SciLifeLab), Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden
| | - Tom Grotmol
- Department of Research, Cancer Registry of Norway, Oslo, Norway
| | - Trine B Rounge
- Department of Research, Cancer Registry of Norway, Oslo, Norway
- Centre for Bioinformatics, University of Oslo, Oslo, Norway
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